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DPIIT Recognised Deep Tech · Andhra Pradesh

AI Research & Platform
Development for
Complex Domains.

TekThink Research Labs builds AI-native domain intelligence frameworks — anchored in proprietary theorems, validated through field research, and deployed as enterprise-grade platforms for high-stakes industries.

DPIIT Recognition
DIPP275667
Valid Until
29 Jul 2036
Incorporated
30 Jul 2026 · AP
CIN
U62013AP2026PTC127340
iQube™ Framework · Active MVP Validation
4-Dimensional Decision Intelligence Engine
Axis 1
Parameters
Axis 2
Dimensions
Axis 3
Controls
Axis 4
Lifecycle
→ cross_dimensional_propagation: active
→ binary_input_computed: true
→ alert_engine: firing
→ rera_compliance: auto_assembled
ProjectIQ EOS · Intelligence Loop Running
Step 1
Capture
Step 2
Compute
Step 3
Connect
Step 4
Alert → Advise → Learn
🏛️DPIIT Recognised · DIPP275667 · Valid to Jul 2036
📍Andhra Pradesh · Andhra Pradesh · AP Startup Ecosystem
🔬Deep Tech · AI Research · Domain Intelligence
🔒Patent Pending · iQube™ Framework · Proprietary IP
Research Focus

Domain Intelligence Frameworks
for High-Stakes Industries.

TekThink Research Labs develops AI-native intelligence frameworks that transform how complex organisations capture, compute, and act on operational data. Our research is grounded in formal theorems, validated through field deployment, and protected as proprietary IP.

🧮
Formal Framework Design
Every intelligence system we build is anchored in a formally structured, mathematically grounded framework — not heuristics or rules of thumb. Frameworks are domain-specific, patent-pending, and constitute the core IP of each platform.
⚙️
Binary Input Architecture
Our research established that all meaningful field intelligence can be reduced to binary completion events. This produces manipulation-proof, audit-ready computed outputs — eliminating subjective scoring from enterprise decision systems.
🔗
Cross-Dimensional Propagation
A single binary input event propagates automatically across all relevant dimensions — construction progress, financial impact, compliance status, and stakeholder communication — through our iQube™ causal reasoning engine.
📊
Real Estate Execution Intelligence
Primary applied research domain. Developing the iQube™ framework for real estate and infrastructure execution — covering 303 standard sub-tasks across 4 project types, RERA compliance automation, and EVM computation from field data.
🤖
Prescriptive AI Advisory
Research into AI systems that move beyond descriptive dashboards to prescriptive intelligence — systems that assign specific actions to named owners with predicted outcome ranges and confidence-bounded uncertainty quantification.
📈
Continuous Learning Systems
Investigating back-testing and recalibration architectures that compound model accuracy with every deployment cycle — creating compounding intelligence advantages that cannot be replicated by later-entering competitors.
Primary Platform

ProjectIQ EOS —
Execution Operating System
for Real Estate.

India's first AI-native Execution Operating System for real estate and infrastructure. ProjectIQ EOS operationalises the iQube™ Decision Intelligence framework as a deployable enterprise platform.

iQube™ — 4-Dimensional Framework (Patent Pending)
AXIS 01
Parameters
Cost · Schedule · Scope · QA · Risk
AXIS 02
Dimensions
Construction · Finance · Sales · CX
AXIS 03
Controls
RERA · QA/QC · Procurement · HSE
AXIS 04
Lifecycle
S0 Feasibility → S5 Asset & FM Ops
  • 4-dimensional iQube™ framework — cross-dimensional signal propagation in real time
  • 303 standard sub-tasks across 4 project types — all weights validated to 100%
  • RERA quarterly reports auto-assembled — same data that drives EVM is filed with RERA
  • Real EVM (CPI + SPI) computed from binary site inputs — never entered manually
  • Buyer transparency portal — flat progress updated by engineers, visible to buyers
  • Non-disruptive integration above Tally, Salesforce, MS Project
303
Standard Sub-Tasks
Across 4 project types, all pre-weighted for binary completion.
7
Intelligence Loop Steps
Capture → Compute → Connect → Alert → Advise → Automate → Learn.
4
iQube™ Axes
Parameters × Dimensions × Controls × Lifecycle.
2
Live Portals
Builder command centre + Buyer transparency portal.
🔬 Development Status
MVP in early validation · Prototype live on Vercel · RERA-native architecture validated · Pilot engagements open in Andhra Pradesh and Telangana
IP & Innovation

Proprietary Frameworks.
Compounding Moat.

Every platform built by TekThink Research Labs is anchored in formally structured, proprietary IP — designed to create compounding competitive advantage with every deployment cycle.

📐
iQube™ Decision Intelligence Framework
4-dimensional causal reasoning engine for real estate execution. Patent application in progress. Covers Parameters × Dimensions × Controls × Lifecycle cross-propagation methodology.
⚙️
Binary Input Computation Model
Proprietary architecture that derives all scores, percentages, and intelligence outputs from binary field completion events — eliminating subjective entry and ensuring audit-proof outputs.
🔒
Tiered IP Disclosure Architecture
Four-layer disclosure model: Marketing (public) → Conceptual (public) → Outcome (public) → Technical (NDA only). Core reasoning algorithms are trade secrets never disclosed.
IP Protection Principles
// never_disclosed: core_algorithms
01
Theorem-Anchored
Every framework is formally structured as a theorem — not a methodology or a best-practice guide. Theorems are mathematically grounded and independently verifiable.
02
Patent Pending
iQube™ Decision Intelligence framework — patent application in progress. Covers the 4-dimensional architecture and cross-dimensional propagation model.
03
Trade Secret Layer
Causal inference algorithms, parameter weighting models, and multi-agent workflow logic are trade secrets. Never disclosed in any commercial or research context.
04
Compounding Advantage
Every deployment cycle back-tests and recalibrates the model. Accumulated field data cannot be replicated by later entrants — the moat compounds indefinitely.
About TekThink Research Labs
2026
Incorporated
30 Jul 2026 · Andhra Pradesh
AP
Registered State
Andhra Pradesh
2036
DPIIT Valid Until
DIPP275667 · 10-year recognition
Pre
Revenue Stage
MVP validation · Seeking grants

A dedicated AI research entity for domain intelligence.

TekThink Research Labs Private Limited is a DPIIT-recognised deep tech company incorporated in Andhra Pradesh, focused on developing AI-native domain intelligence frameworks for complex, high-stakes industries.

Our primary research domain is Real Estate & Infrastructure execution intelligence — where we are building and validating the iQube™ Decision Intelligence framework through field deployment of ProjectIQ EOS. Our methodology — formal theorem design, binary input architecture, and cross-dimensional intelligence propagation — is applicable across multiple high-complexity domains.

We are actively pursuing research partnerships, grant collaborations, and institutional engagement with government bodies and academic institutions.

Grants & Partnerships

Institutional Engagement & Funding.

TekThink Research Labs is actively engaging with central government, state government, and institutional funding bodies relevant to our deep tech AI research mandate.

Central Government
SISFS — Startup India Seed Fund
Pursuing seed funding under the Startup India Seed Fund Scheme for early-stage AI research and MVP validation of ProjectIQ EOS.
Central Government
MeitY — AI & Deep Tech Grants
Engaging with Ministry of Electronics & IT schemes supporting AI research, data intelligence platforms, and deep tech startup development.
Andhra Pradesh
AP Innovation Society
Engaging with AP state startup ecosystem schemes and AP Innovation Society programmes for deep tech companies registered in Andhra Pradesh.
Andhra Pradesh
AP Startup Ecosystem
Active participation in Andhra Pradesh startup ecosystem as a registered AP company — eligible for state-specific grants, subsidies, and infrastructure support.
Research
Academic & Research Partnerships
Open to collaborating with IITs, NITs, and research institutions on AI methodology validation, domain intelligence framework research, and joint publications.
Engage with our research.

Whether you are a grant body, institutional investor, research partner, or enterprise exploring our platforms — we welcome structured engagement. All interactions are confidential.